Remove Books Remove Data Pipeline Remove Data Quality
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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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ODSC West 2023 Recap in Pictures

ODSC - Open Data Science

ODSC West is now a part of our history books, and we couldn’t be happier with how everything turned out. We had our first-ever Halloween party, more book signings, exciting keynotes, and plenty of sessions to fit everyone’s needs.

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What is the Pile Dataset

Pickl AI

Its diverse content includes academic papers, web data, books, and code. EleutherAI created the Pile to democratise AI research with high-quality, accessible data. Diversity of Sources : The Pile integrates 22 distinct datasets, including scientific articles, web content, books, and programming code.

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning Blog

The solution contains the following processing layers: Data pipeline The various data sources, such as sales transactional data, unstructured QRT reports, social media reviews in JSON format, and vehicle metadata, are processed, transformed, and stored in the respective databases.

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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions. 4 key components to ensure reliable data ingestion Data quality and governance: Data quality means ensuring the security of data sources, maintaining holistic data and providing clear metadata.

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Build trust in banking with data lineage

IBM Journey to AI blog

Before a bank can start the process of certifying a risk model, they first need to understand what data is being used and how it changes as it moves from a database to a model.

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Five benefits of a data catalog

IBM Journey to AI blog

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. Ensuring data quality is made easier as a result.